A table resource contains a tabular data file (can be validated with Table Schema):
from frictionless.resources import TableResource
resource = TableResource(path='table.csv')
resource.infer(stats=True)
print(resource)
{'name': 'table',
'type': 'table',
'path': 'table.csv',
'scheme': 'file',
'format': 'csv',
'mediatype': 'text/csv',
'encoding': 'utf-8',
'hash': 'sha256:a1fd6c5ff3494f697874deeb07f69f8667e903dd94a7bc062dd57550cea26da8',
'bytes': 30,
'fields': 2,
'rows': 2,
'schema': {'fields': [{'name': 'id', 'type': 'integer'},
{'name': 'name', 'type': 'string'}]}}We can read the contents:
from frictionless.resources import TableResource
resource = TableResource(path='table.csv')
resource.infer(stats=True)
print(resource.read_rows())
[{'id': 1, 'name': 'english'}, {'id': 2, 'name': '中国人'}]